Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

OpenAI had experienced professionals blindly grade outputs from OpenAI's GPT-4o, o4-mini, o3, and GPT-5 models, as well as Anthropic's Claude Opus 4.1, Google's Gemini 2.5 Pro, and xAI's Grok 4.

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?